2026-01-09 03:28:05

There's a classic metaphor that is very illustrative: holding a hammer, everything looks like a nail. Currently, the AI market is caught in this vicious cycle—many projects attempt to apply a universal large model to all scenarios.

But this is obviously not feasible. Analyzing on-chain financial ledgers requires rigorous logical computation, while interpreting the popularity of NFT communities demands social sensitivity. Their underlying needs are fundamentally different.

This is also why the market is beginning to see differentiation—more and more teams realize that a one-size-fits-all solution is destined to hit a ceiling. AI applications that are tailored to specific scenarios and specialized are the truly implementable ideas. Finding a balance between financial data accuracy and social insights may be the key to the next round of competition.

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DefiEngineerJack

· 01-11 14:09

lmao finally someone gets it. been saying this for months while everyone's out here chasing the "one model to rule them all" narrative. spoiler alert: it doesn't exist, ser.

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UncommonNPC

· 01-10 17:00

That's right, the general large model approach indeed needs to break, only specialized tracks have a chance.

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ColdWalletAnxiety

· 01-10 06:27

Ha, you're so right. The universal large model approach should have been broken long ago. The needs of those in finance and those in community building are completely different; forcing them together is just asking for failure. I believe in those projects that truly focus on verticals—that's the way forward.

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DAOTruant

· 01-09 03:57

I've been saying this all along: general large models are a false demand. Finance and social networking simply can't be combined, and trying to merge them will only result in both failing.

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Blockwatcher9000

· 01-09 03:46

That's a pretty good point, but now everyone knows that general large models have their limitations... The key is how to develop truly reliable vertical solutions. Having a specialized focus sounds easy, but how much money needs to be spent in practice to see results? This round, it seems like big companies will eat the meat while small teams get the broth.

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TxFailed

· 01-09 03:45

ngl the hammer metaphor hits different when you've watched seventeen projects die swinging at everything. technically speaking, yeah, trying to generalize your way through on-chain finance AND social sentiment detection is like... idk, using the same wallet for mainnet and testnet. disaster waiting to happen.

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DarkPoolWatcher

· 01-09 03:45

The pain points are spot on. General large models are just a false demand. Is it a bit late now to realize this?

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SeasonedInvestor

· 01-09 03:37

I've been saying it for a while, the all-in-one large model is bound to fail sooner or later. Finance requires logic, social interaction requires feelings, forcing them into the same box is doomed to fail. It seems that only by focusing on verticals can we survive. The current wave of differentiation is inevitable, whoever specializes wins. The universal solution has a ceiling, that's spot on, but how many can truly excel in verticals... Hammering on something turns everything into a nail, and in the end, everything gets broken haha. Finance and social are fundamentally two different logics, trying to use one model to cover both? That's overthinking. The next step depends on who can find a balance between these two ends, that’s the real skill.

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